Amazon Web Services (AWS)

AWS announces the general availability of Amazon Redshift multi-data warehouse writes through data sharing. You can now start writing to Amazon Redshift databases from multiple Amazon Redshift data warehouses in just a few clicks. The written data is available to all Amazon Redshift warehouses as soon as it is committed. This allows your teams to flexibly scale compute by adding warehouses of different types and sizes based on their write workloads’ price-performance needs, isolate compute to more easily meet your workload performance requirements, and easily and securely collaborate with other teams. With Amazon Redshift multi-data warehouse writes through data sharin…

AWS Certifications validate your technical expertise and show your commitment to professional growth in cloud computing. We’re both experienced AWS professionals and have witnessed firsthand how cloud technologies can accelerate mission-critical initiatives and solve complex challenges in regulated industries. AWS Certifications have been an important part of our respective career progression and we’re passionate about sharing our certification experiences to help others. Whether you’re starting in a traditional IT role or already working with cloud technologies, we hope that some of the tips we offer will be helpful as you prepare for, and navigate your own AWS learnin…

AWS Cloud WAN now supports native integration with AWS Direct Connect, simplifying connectivity between your on-premises networks and the AWS cloud. The new capability enables you to directly attach your Direct Connect gateways to Cloud WAN without the need for an intermediate AWS Transit Gateway, allowing seamless connectivity between your data centers or offices with AWS Virtual Private Clouds (VPCs) across AWS regions globally. Cloud WAN allows you to build, monitor, and manage a unified global network that interconnects your resources in the AWS cloud and your on-premises environments. Direct Connect allows you to create a dedicated network connection to AWS, bypas…

Amazon S3 now supports enforcement of conditional write operations for S3 general purpose buckets using bucket policies. With enforcement of conditional writes, you can now mandate that S3 check the existence of an object before creating it in your bucket. Similarly, you can also mandate that S3 check the state of the object’s content before updating it in your bucket. This helps you to simplify distributed applications by preventing unintentional data overwrites, especially in high-concurrency, multi-writer scenarios. To enforce conditional write operations, you can now use s3:if-none-match or s3:if-match condition keys to write a bucket policy that mandates the use o…

Amazon S3 can now perform conditional writes that evaluate if an object is unmodified before updating it. This helps you coordinate simultaneous writes to the same object and prevents multiple concurrent writers from unintentionally overwriting the object without knowing the state of its content. You can use this capability by providing the ETag of an object using S3 PutObject or CompleteMultipartUpload API requests in both S3 general purpose and directory buckets. Conditional writes simplify how distributed applications with multiple clients concurrently update data across shared datasets. Similar to using the HTTP if-none-match conditional header to check for the exi…

Amazon WorkSpaces now supports Idle Disconnect Timeout for Windows WorkSpaces Personal with the Amazon DCV protocol. WorkSpaces administrators can now configure how long a user can be inactive while connected to a personal WorkSpace, before they are disconnected. This setting is already available for WorkSpaces Pools, but this launch includes end user notifications for idle users, warning that their session will be disconnected soon, for both Personal and Pools. Idle Disconnect Timeout helps Amazon WorkSpaces administrators better optimize costs and resources for their fleet. This feature helps ensure that customers who pay for their resources hourly are only paying fo…

Today, AWS announces new enhanced root cause analysis capabilities for AWS Cost Anomaly Detection, empowering you to better pinpoint and remediate underlying factors driving unplanned cost increases. By creating anomaly monitors, you can analyze spend across services, member accounts, Cost Allocation Tags, and Cost Categories. Once a cost anomaly is detected, Cost Anomaly Detection now analyzes and ranks all possible combinations of services, accounts, regions, and usage types by cost impact, surfacing up to the top 10 root causes with their corresponding cost contributions. With more information on the key drivers behind an anomaly, you can better identify the specifi…

AWS Marketplace now offers a self-service Know Your Customer (KYC) feature for all sellers wishing to transact via the AWS Europe, Middle East, and Africa (EMEA) Marketplace Operator. The KYC verification process is required for sellers to receive disbursements via the AWS EMEA Marketplace Operator. This new self-service feature helps sellers complete this KYC process quickly and easily, and unblocks their business growth in EMEA region. Completing KYC and onboarding to EMEA Marketplace operator allows sellers to provide a more localized experience for their customers. Customers will see consistent Value Added Tax (VAT) charges across all their AWS purchases. They can …

Amazon DataZone now supports enforced metadata rules for data access workflows, providing organizations with enhanced capabilities to strengthen governance and compliance with their organization needs. This new feature allows domain owners to define and enforce mandatory metadata requirements, ensuring data consumers provide essential information when requesting access to data assets in Amazon DataZone. By streamlining metadata governance, this capability helps organizations meet compliance standards, maintain audit readiness, and simplify access workflows for greater efficiency and control. With enforced metadata rules, domain owners can establish consistent governanc…

Amazon CloudWatch now adds context to observability data, making it much easier for IT operators, application developers, and Site Reliability Engineers (SREs) to navigate related telemetry, visualize relationships between resources, and accelerate analysis. This new feature transforms disparate metrics and logs into real-time insights, to identify root cause of issues faster and improve operational efficiency. With this feature, Amazon CloudWatch now automatically visualizes the relationships within observability data and underlying AWS resources, such as Amazon EC2 instances and AWS Lambda functions. This feature is integrated across the AWS Management Console, acces…

You can now perform calibrations to drive consistency and accuracy in how managers evaluate agent performance, so that agents receive feedback that is consistent. During a calibration, multiple managers can evaluate the same contact using the same evaluation form. You can then review differences in evaluations filled by different managers to align managers on evaluation best practices and identify opportunities to improve the evaluation form, e.g. rephrasing an evaluation question to be more specific, so that it is consistently answered by managers. You can also compare manager’s answers with an approved evaluation to measure and improve manager accuracy on evaluating age…

AWS CodePipeline introduces the ECRBuildAndPublish action and the AWS InspectorScan action in its action catalog. The ECRBuildAndPublish action enables you to easily build a docker image and publish it to ECR as part of your pipeline execution. The InspectorScan action enables you to scan your source code repository or docker image as part of your pipeline execution. Previously, if you wanted to build and publish a docker image, or run vulnerability scan, you had to create a CodeBuild project, configure the project with the appropriate commands, and add a CodeBuild action to your pipeline to run the project. Now, you can simply add these actions to your pipeline, and l…

Today, Amazon SageMaker introduces new multi-adapter inference capabilities that unlock exciting possibilities for customers using pre-trained language models. This feature allows you to deploy hundreds of fine-tuned LoRA (Low-Rank Adaptation) model adapters behind a single endpoint, dynamically loading the appropriate adapters in milliseconds based on the request. This enables you to efficiently host many specialized LoRA adapters built on a common base model, delivering high throughput and cost-savings compared to deploying separate models. With multi-adapter inference, you can quickly customize pre-trained models to meet diverse business needs. For example, marketin…

We are excited to announce enhancements to the agreement functionality on AWS Artifact that will improve how you manage and track agreement execution. You can now provide fine-grained access to agreements in AWS Artifact at the AWS Identity and Access Management (IAM) Action and Resource level. To make it easy for you to configure IAM permissions, we have introduced “AWSArtifactAgreementsReadOnlyAccess”and “AWSArtifactAgreementsFullAccess” managed policies for AWS Artifact agreements, which provide read-only permissions and full permissions respectively. We have also implemented CloudTrail logging for agreement activities on AWS Artifact. This enables you to easily tra…

Today, AWS announced support for a new Apache Flink connector for Amazon Simple Queue Service. The new connector, contributed by AWS for the Apache Flink open source project, adds Amazon Simple Queue Service as a new destination for Apache Flink. You can use the new connector to send processed data from Amazon Managed Service for Apache Flink to Amazon Simple Queue Service messages with Apache Flink, a popular framework and engine for processing and analyzing streaming data. Amazon Managed Service for Apache Flink makes it easier to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing da…

Today, we are announcing that you can request Amazon EC2 Capacity Reservations to start on a future date. Capacity Reservations provide assurance for your critical workloads by allowing you to immediately reserve compute capacity in a specific Availability Zone. Starting today, you can now create Capacity Reservations to start on a future date, enabling you to secure capacity for your future needs and providing you with peace of mind for your critical future scaling events. You can create future dated Capacity Reservations by specifying the capacity you need, start date, and the minimum duration you commit to use the reservation. Once EC2 approves the request, your res…

AWS AppConfig has added support for third-party monitors to trigger automatic rollbacks when there are problems with updates to feature flags, experimental flags, or configuration data. Customers can now connect AWS AppConfig to third-party application performance monitoring (APM) solutions; previously monitoring required Amazon CloudWatch. This monitoring gives more confidence and additional safety controls when making any change on production. Unexpected downtime or degraded performance can occur from faulty changes to feature flags or configuration data. AWS AppConfig provides safety guardrails to reduce this risk. One key safety guardrail for AWS AppConfig is the a…

Agents for Amazon Bedrock now offers InlineAgents, a new feature that allows developers to define and configure Bedrock Agents dynamically at runtime. This enhancement provides greater flexibility and control over agent capabilities, enabling users to specify foundation models, instructions, action groups, guardrails, and knowledge bases on-the-fly without relying on pre-configured control plane settings. With InlineAgents, developers can easily customize their agents for specific tasks or user requirements without creating new agent versions or preparing the agent. This feature enables rapid experimentation with different AI configurations, trying out various agent fe…

Amazon S3 Express One Zone, a high-performance S3 storage class for latency-sensitive applications, can now evaluate whether an object is unchanged before deleting it. This conditional delete capability helps you improve data durability and reduce errors from accidental deletions in high-concurrency, multiple-writer scenarios. Conditional writes simplify how distributed applications with multiple clients concurrently update data across shared datasets, helping to prevent unintentional overwrites. Now, in directory buckets, clients can perform conditional delete checks on an object’s last modified time, size, and Etag using the x-amz-if-match-last-modified-time, x-amz-i…

Amazon Connect now allows agents to create and assign a task to themselves by checking a box from the agent workspace or contact control panel (CCP). For example, an agent can schedule a follow up action to update to a customer by scheduling a task for a preferred time and checking the self assignment option. Amazon Connect Tasks empowers you to prioritize, assign, and track all contact center agent tasks to completion, improving agent productivity and ensuring customer issues are quickly resolved. This feature is supported in all AWS regions where Amazon Connect is offered. To learn more, see our documentation. To learn more about Amazon Connect, the easy-to-use cloud…

AWS Database Migration Service (AWS DMS) now supports Data Masking, enabling customers to transform sensitive data at the column level during migration, helping to comply with data protection regulations like GDPR. Using AWS DMS, you can now create copies of data that redacts information at a column level that you need to protect. AWS Data Masking will automatically mask the portions of data you specify. Data Masking offers three transformation techniques: digit randomization, digit masking, and hashing. It's available for all endpoints supported by DMS Classic and DMS Serverless in version 3.5.4. To learn more about Data Masking with AWS DMS, please please refer to…

Today, we are announcing the availability of AWS Backup support for Amazon Timestream for LiveAnalytics in the Asia Pacific (Mumbai) Region. AWS Backup is a policy-based, fully managed and cost-effective solution that enables you to centralize and automate data protection of Amazon Timestream for LiveAnalytics along with other AWS services (spanning compute, storage, and databases) and third-party applications. Together with AWS Organizations, AWS Backup enables you to centrally deploy policies to configure, manage, and govern your data protection activity. With this launch, AWS Backup support for Amazon Timestream for LiveAnalytics is available in the following Region…

Today, Amazon Web Services announces three new features for Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML that enable you to get near-instantaneous access to GPU and ML chip instances through Capacity Blocks, extend the durations of your Capacity Blocks, and reserve Capacity Blocks for longer periods of up to six months. With these new features, you have more options to provision GPU and ML chip capacity to meet your machine learning (ML) workload needs. With Capacity Blocks, you can reserve GPU and ML chip capacity in cluster sizes of one to 64 instances (512 GPUs, or 1,024 Trainium chips), giving you the flexibility to run a wide variety of ML work…

Amazon Q Developer Pro tier now provides a detailed usage activity dashboard that gives administrators greater visibility into how their subscribed users are leveraging Amazon Q Developer features and improving their productivity. The dashboard offers insights into user activity metrics, including the number of AI-generated code lines and the acceptance rate of individual features such as, inline code and chat suggestions in developer’s integrated development environment (IDE). This information enables administrators to monitor usage and evaluate productivity gains achieved through Amazon Q Developer. New customers will have this usage dashboard enabled by default. Exi…

We are excited to announce Scale Down to Zero, a new capability in Amazon SageMaker Inference that allows endpoints to scale to zero instances during periods of inactivity. This feature can significantly reduce costs for running inference using AI models, making it particularly beneficial for applications with variable traffic patterns such as chatbots, content moderation systems, and other generative AI usecases. With Scale Down to Zero, customers can configure their SageMaker inference endpoints to automatically scale to zero instances when not in use, then quickly scale back up when traffic resumes. This capability is effective for scenarios with predictable traffic…

Today, AWS announced support for a new Apache Flink connector for Amazon Managed Service for Prometheus. The new connector, contributed by AWS for the Apache Flink open source project, adds Amazon Managed Service for Prometheus as a new destination for Apache Flink. You can now manage your Prometheus metrics data cardinality by pre-processing raw data with Apache Flink to build real-time observability with Amazon Managed Service for Prometheus and Grafana. Amazon Managed Service for Prometheus is a secure, serverless, scaleable, Prometheus-compatible monitoring service. You can use the same open-source Prometheus data model and query language that you use today to moni…

Today, AWS announces the public preview of the enhanced AWS Pricing Calculator that provides accurate cost estimates for new workloads or modifications to your existing AWS usage by incorporating eligible discounts. It also helps you estimate the cost impact of your commitment purchases and their impact to your organization's consolidated bill. With today’s launch, AWS Pricing Calculator now allows you to apply eligible discounts to your cost estimates, enabling you to make informed financial planning decisions. The enhanced Pricing Calculator, available within the AWS Billing and Cost Management Console, provides two types of cost estimates: cost estimation for a work…

Today, AWS announces the general availability (GA) of Data Exports for FOCUS 1.0, which has been in public preview since June 2024. FOCUS 1.0 is an open-source cloud cost and usage specification that provides standardization to simplify cloud financial management across multiple sources. Data Exports for FOCUS 1.0 enables customers to export their AWS cost and usage data with the FOCUS 1.0 schema to Amazon S3. The GA release of FOCUS 1.0 is a new table in Data Exports in which key specification conformance gaps have been solved compared to the preview table. With Data Exports for FOCUS 1.0 (GA), customers receive their costs in four standardized columns, ListCost, Cont…

When you use AWS Database Migration Service (DMS) and DMS Schema Conversion to migrate a database, you might need to convert the embedded SQL in your application to be compatible with your target database. Rather than converting it manually, you can use Amazon Q Developer in the IDE to automate the conversion. Amazon Q Developer uses metadata from a DMS Schema Conversion to convert embedded SQL in your application to a version that is compatible with your target database. Amazon Q Developer will detect Oracle SQL statements in your application and convert them to PostgreSQL. You can review and accept the proposed changes, view a summary of the transformation, and follo…

Today, AWS Control Tower added AWS Backup to the list of AWS services you can optionally configure with prescriptive guidance. This configuration option allows you to select from a range of recommended backup plans, seamlessly integrating data backup and recovery workflows into your Control Tower landing zone and organizational units. A landing zone is a well-architected, multi-account AWS environment based on security and compliance best practices. AWS Control Tower automates the setup of a new landing zone using best-practices blueprints for identity, federated access, logging, account structure, and with this launch adds data retention. When you choose to enable AWS…

AWS Marketplace now provides AI-powered product summaries and comparisons for popular software as a service (SaaS) products, helping you make faster and more informed software purchasing decisions. Use this feature to compare similar SaaS products across key evaluation criteria such as customer reviews, product popularity, features, and security credentials. Additionally, you can gain AI-summarized insights into key decision factors like ease of use, customer support, and cost effectiveness. Sifting through thousands of options on the web to find software products that best fit your business needs can be challenging and time-consuming. The new product comparisons featu…

Last week, I saw an astonishing number of new feature and service launches from AWS. This means we are getting closer to AWS re:Invent 2024! Our News Blog team is also finalizing blog posts for re:Invent to introduce some awesome launches from service teams for your reading pleasure. The most interesting news is that we’re expanding our strategic collaboration with Anthropic as our primary training partner for development of our AWS Trainium chips. This is in addition to being their primary cloud provider for deploying Anthropic’s Claude models in Amazon Bedrock. We’ll keep pushing the boundaries of what customers can achieve with generative AI technologies with these k…

Application Load balancer (ALB) now supports advertise Certificate Authority (CA) subject name stored in its associated Trust Store to simplify the certificate selection experience. By enabling this feature, the ALB will send a list of CA subject names to clients attempting to connect to the load balancer. Clients can use this list to identify which of their certificates will be accepted by the ALB, which reduces connection errors during mutual authentication. You can optionally configure the Advertise CA subject name feature using AWS APIs, AWS CLI, or the AWS Management Console. This feature is available for ALBs in all commercial AWS Regions, the AWS GovCloud (US) R…

Today, AWS announces additional file support for AWS Application Discovery Service (ADS), which adds the ability to import VMware data generated by 3rd-party datacentre tools. With today’s launch, you can now directly take an export from Dell Technology’s RVTools and load it into ADS without any file manipulation. ADS provides a system of record for configuration, performance, tags, network connections, and application grouping of your existing on-premises workloads. Now with the support for additional file formats, you have the option to kick off your migration journey using the data you already have. At any time later you have the option to deploy either ADS Discover…

Today, we are launching two new capabilities to EC2 Auto Scaling (ASG) that improve the responsiveness of Target Tracking scaling policies. Target Tracking now automatically adapts to the unique usage patterns of your individual applications, and can be configured to monitor high-resolution CloudWatch metrics to make more timely scaling decisions. With this release, you can enhance your application performance, and also maintain high utilization for your EC2 resources to save costs. Scaling based on sub-minute CloudWatch metrics enables customers, with applications that have volatile demand patterns, like client-serving APIs, live streaming services, ecommerce websites…

Amazon S3 Connector for PyTorch now supports Distributed Checkpoint (DCP), improving the time to write checkpoints to Amazon S3. DCP is a PyTorch feature for saving and loading machine learning (ML) models from multiple training processes in parallel. PyTorch is an open source ML framework used to build and train ML models. Distributed training jobs often run for several hours or even days, and checkpoints are written frequently to improve fault tolerance. For example, jobs training large foundation models often run for several days and generate checkpoints that are hundreds of gigabytes in size. Using DCP with Amazon S3 Connector for PyTorch helps you reduce the time …

Today, AWS announced the general availability of a new console experience in AWS Resource Explorer that centralizes resource insights and properties from AWS services. With this release, you now have a single console experience to use simple keyword-based search for your AWS resources, view relevant resource properties, and confidently take action to organize your resources. You can now inspect resource properties, resource-level cost with AWS Cost Explorer, AWS Security Hub findings, AWS Config compliance and configuration history, event timelines with AWS CloudTrail, and a relationship graph showing connected resources. You can also take actions on resources directly…

Amazon OpenSearch Ingestion now allows you to write data into Amazon Security Lake in real-time, allowing you to ingest security data from both AWS and custom sources and uncover valuable insights into potential security issues in near-realtime. Amazon Security Lake centralizes security data from AWS environments, SaaS providers and on- premises into a purpose-built data lake. With this integration, customers can now seamlessly ingest and normalize security data from all popular custom sources before writing it into Amazon Security Lake. Amazon Security Lake uses the Open Cybersecurity Schema Framework (OCSF) to normalize and combine security data from a broad range of…

Amazon QuickSight introduces the ability to import visuals from an existing dashboard or analysis into your current analysis where authors have ownership privileges. This feature streamlines dashboard and report creation by allowing you to transfer associated dependencies such as datasets, parameters, calculated fields, filter definitions, and visual properties, including conditional formatting rules. Authors can boost productivity by importing visuals instead of recreating them, facilitating collaboration across teams. The feature intelligently resolves conflicts, eliminates duplicates, rescopes filter definitions, and adjusts visuals to match the destination sheet ty…

Amazon QuickSight now offers Highcharts visuals, enabling authors to create custom visualizations using the Highcharts Core library. This new feature extends your visualization capabilities beyond QuickSight's standard chart offerings, allowing you to create bespoke charts such as sunburst charts, network graphs, 3D charts and many more. Using declarative JSON syntax , authors can configure charts with greater flexibility and granular customization. You can easily reference QuickSight fields and themes in the JSON using QuickSight expressions. The integrated code editor includes contextual assistance features, providing autocomplete and real-time validation to ensure p…

Amazon QuickSight now includes Image Component. This provides authors greater flexibility to incorporate static images into their QuickSight dashboards, analysis, reports and stories. With Image component, Authors can upload images directly from your local desktop to QuickSight for a variety of use cases, such as adding company logos and branding, including background images with free-form layout, and creating captivating story covers. It also supports tooltip and alt text, providing additional context and accessibility for readers. Furthermore, it offers navigation and URL actions, enabling authors to make their images interactive, such as triggering specific dashboar…

Amazon QuickSight launches Layer Map, a new geospatial visual with shape layer support. With Layer Maps you can visualize data using custom geographic boundaries, such as congressional districts, sales territories, or user-defined regions. For example, sales managers can visualize sales performance by custom sales territories, and operations analysts can map package delivery volumes across different zip code formats (zip 2, zip 3). Authors can add shape layer over a base map by uploading GeoJSON file and join it with their data to visualize values. You can also style shape layer by adjusting color, border, and opacity, as well as add interactivity through tooltips and …

AWS Lambda announces Provisioned Mode for event source mappings (ESMs) that subscribe to Apache Kafka event sources, a feature that allows you to optimize the throughput of your Kafka ESM by provisioning event polling resources that remain ready to handle sudden spikes in traffic. Provisioned Mode helps you build highly responsive and scalable event-driven Kafka applications with stringent performance requirements. Customers building streaming data applications often use Kafka as an event source for Lambda functions, and use Lambda's fully-managed MSK ESM or self-managed Kafka ESM, which automatically scale polling resources in response to events. However, for event-dr…

Today AWS announces an integration between AWS Application Discovery Service (ADS) and AWS Application Migration Service (MGN), which allows data collected about your on-premises workloads to directly feed into your migration execution plan. This new capability provides a one-click export of the on-premises server configuration, tags, application grouping, and Amazon EC2 recommendations gathered during planning in a format supported by MGN. ADS provides a system of record for configuration, performance, tags, and application groupings of your existing on-premises workloads. Now when using the Amazon EC2 instance recommendations feature, you also are provided an MGN-rea…

Today, Amazon Web Services announces the general availability of Amazon Q Business browser extensions for Google Chrome, Mozilla Firefox, and Microsoft Edge. Users can now supercharge their browsers’ intelligence and receive context-aware, generative AI assistance, making it easy to get on-the-go help for their daily tasks. The Amazon Q Business browser extension makes it easy for users to summarize web pages, ask questions about web content or uploaded files, and leverage large language model knowledge directly within their browser. With the browser extension, users can maximize reading productivity, streamline their research and analysis of complex information, and g…

CloudWatch Application Signals, an application performance monitoring (APM) solution, enables developers and operators to easily monitor the health and performance of their applications hosted across different compute platforms such as EKS, ECS and more. Customers can now use OpenTelemetry Protocol (OTLP), an open-source protocol, to send traces to the X-Ray OTLP endpoint, and unlock application performance monitoring capabilities with Application Signals. OpenTelemetry Protocol (OTLP) is a standardized protocol for transmitting telemetry data from your applications to monitoring solutions like CloudWatch. Developers who use OpenTelemetry to instrument their applicatio…

Today, Amazon Web Services (AWS) is excited to announce the general availability of customizable chat responses generated by Amazon Q Developer in the IDE. With this capability, you can securely connect Q Developer to your private codebases to receive more precise chat responses that take into account your organization’s internal APIs, libraries, classes, and methods. Readmes and best practices demonstrated within your code repositories are also utilized within your customization. You can use a customized version of Q Developer chat in the IDE to ask questions about how your internal codebase is structured, and where and how certain functions or libraries are used. With t…

Today, AWS Security Token Service (STS) is announcing support for digitally signing OpenID Connect (OIDC) JSON Web Tokens (JWTs) using Elliptic Curve Digital Signature Algorithm (ECDSA) keys. A digital signature guarantees the JWT’s authenticity and integrity and ECDSA is a popular, NIST-approved digital signature algorithm. When your identity provider (IdP) authenticates a user, it crafts a signed OIDC JWT representing that user’s identity. When your authenticated user calls the AssumeRoleWithWebIdentity API and passes their OIDC JWT, STS vends short-term credentials that enable access to your protected AWS resources. You now have a choice between using RSA and ECDSA …

Model Evaluation on Amazon Bedrock allows you to evaluate, compare, and select the best foundation models for your use case. Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined algorithms for metrics such as accuracy, robustness, and toxicity. Additionally, for those metrics or subjective and custom metrics, such as friendliness, style, and alignment to brand voice, you can set up a human evaluation workflow with a few clicks. Human evaluation workflows can leverage your own employees or an AWS-managed team as reviewers. Model evaluation provides built-in curated datasets or you can bring your own da…

Today, AWS announces the general availability of the Smartsheet connector for Amazon Q Business. Smartsheet is a modern enterprise work management platform. This connector makes it easy to synchronize data from your Smartsheet instance with your Amazon Q Business index. When implemented, your employees can use Amazon Q Business to query their intelligent assistant on information about their Smartsheet projects and tasks. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data…

AWS Systems Manager now supports instances running Windows Server 2025, Ubuntu Server 24.04, and Ubuntu Server 24.10. Systems Manager customers running these operating systems versions now have access to all AWS Systems Manager Node Management capabilities, including Fleet Manager, Compliance, Inventory, Hybrid Activations, Session Manager, Run Command, State Manager, Patch Manager, and Distributor. For a full list of supported operating systems and machine types for AWS Systems Manager, see the user guide. Patch Manager enables you to automatically patch instances with both security-related and other types of updates across your infrastructure for a variety of common ope…

Organizations run millions of Apache Spark applications each month to prepare, move, and process their data for analytics and machine learning (ML). Building and maintaining these Spark applications is an iterative process, where developers spend significant time testing and troubleshooting their code. During development, data engineers often spend hours sifting through log files, analyzing execution plans, and making configuration changes to resolve issues. This process becomes even more challenging in production environments due to the distributed nature of Spark, its in-memory processing model, and the multitude of configuration options available. Troubleshooting these…

Organizations run millions of Apache Spark applications each month on AWS, moving, processing, and preparing data for analytics and machine learning. As these applications age, keeping them secure and efficient becomes increasingly challenging. Data practitioners need to upgrade to the latest Spark releases to benefit from performance improvements, new features, bug fixes, and security enhancements. However, these upgrades are often complex, costly, and time-consuming. Today, we are excited to announce the preview of generative AI upgrades for Spark, a new capability that enables data practitioners to quickly upgrade and modernize their Spark applications running on AWS…

SES announces that Mail Manager now has a rule action for “Deliver to Q Business” which allows customers to specify an Amazon Q Business application resource and submit email messages to it for indexing and queries. This simplifies setup and allows granular control of which messages are selected by the rule conditions, as well as enabling multiple parallel configurations if customers want to index different messages into separate Q Business applications entirely. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Cust…

Today, Amazon Timestream for Live Analytics announces the launch of Provisioned Timestream Compute Units (TCUs), a new feature that allows you to provision dedicated compute resources for your queries, providing predictable and cost-effective query performance. Amazon Timestream for LiveAnalytics is a serverless time-series database that automatically scales to ingest and analyze gigabytes of time-series data and Provisioned TCUs provide an additional layer of control and flexibility for your query workloads. With Provisioned TCUs, you can provision dedicated compute resources for your queries, guaranteeing consistent performance and predictable costs. As your workload…

Amazon Connect Contact Lens generative AI-powered post contact summarization is now available in Europe (London), Canada (Central), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Asia Pacific (Singapore) AWS regions, which summarize long customer conversations into succinct, coherent, and context rich contact summaries (e.g., “The customer didn’t receive a reimbursement for a last minute flight cancellation and the agent didn’t offer a partial reimbursement as per the SOP”). Agents can access post-contact summaries within seconds after a customer contact call complete to quickly complete their after contact work. This also helps supervisors improve the customer experien…

Today, we’re excited to launch application favoriting and quick access features in the AWS Management Console. Now you can pin your most-used applications as favorites and quickly return to recently visited applications. Customers can easily designate favorite applications with a single click, and sort your most important applications, bringing favorites to the top of your list. Recently visited applications can now be accessed in the Recently Visited widget on Console Home, streamlining your workflow and reducing the time spent searching for frequently used resources. You can also access favorites, recently visited, and a list of all applications in the Services menu …

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that you can use to analyze your data at scale. Tens of thousands of customers use Amazon Redshift to process exabytes of data to power their analytical workloads.The Amazon Redshift Data API simplifies programmatic access to Amazon Redshift data warehouses by providing a secure HTTP endpoint for executing SQL queries, so that you don’t have to deal with managing drivers, database connections, network configurations, authentication flows, and other connectivity complexities. Amazon Redshift has launched a session reuse capability for the Data API that can significantly streamline multi-s…

AWS announces Quantum Embark, a new program aimed at getting customers ready for quantum computing by providing an expert-led approach as they begin their quantum computing journey. With this program, customers can explore the value of quantum computing for their business, understand the pace of development of the technology, and prepare for its impact. Quantum Embark is designed to cut through the hype and focus on actionable outcomes. Quantum computing has the potential to revolutionize industries by solving problems that are beyond the ability of even the most powerful computers. However, to get buy-in from internal stakeholders and establish a long-term quantum roa…

It is appealing to migrate from self-managed OpenSearch and Elasticsearch clusters in legacy versions to Amazon OpenSearch Service to enjoy the ease of use, native integration with AWS services, and rich features from the open-source environment (OpenSearch is now part of Linux Foundation). However, the data migration process can be daunting, especially when downtime and data consistency are critical concerns for your production workload. In this post, we will introduce a new mechanism called Reindexing-from-Snapshot (RFS), and explain how it can address your concerns and simplify migrating to OpenSearch. Key concepts To understand the value of RFS and how it works, …

Today, we’re announcing the general availability of Amazon Bedrock Flows, previously known as Prompt Flows, and adding two key new capabilities. Bedrock Flows enables you to link the latest foundation models, Prompts, Agents, Knowledge Base and other AWS services together in an intuitive visual builder to accelerate the creation and execution of generative AI workflows. Bedrock Flows now also provides real-time visibility into workflow execution and safeguards with Amazon Bedrock Guardrails. Authoring multi-step generative AI workflows is an iterative, time-consuming process, and requires manually adding output nodes to each step to validate the flow execution. With Be…

At AWS, we are committed to empowering organizations with tools that streamline data analytics and transformation processes. We are excited to announce that the dbt adapter for Amazon Athena is now officially supported in dbt Cloud. This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience. In this post, we discuss the advantages of dbt Cloud over dbt Core, common use cases, and how to get started with Amazon Athena using the dbt adapter. The need for streamlined data transformations As organizations increasingly adopt cloud-based data lakes and warehouses…

AWS Outposts now offers static stability for Amazon EC2 instances backed by EC2 instance store. This enables automatic recovery for workloads running on such EC2 instances from power failures or reboots, even when the connection to the parent AWS Region is temporarily unavailable. This means Outposts servers and Outposts racks can recover faster from power outages, minimizing downtime and data loss. Outposts provides a consistent hybrid experience by bringing AWS services to customer premises and edge locations on fully managed AWS infrastructure. While Outposts typically runs connected to an AWS Region for resource management, access control, and software updates, the…

AWS Application Discovery Service (ADS) now supports AWS PrivateLink, providing private connectivity between virtual private clouds (VPCs), on-premises networks and ADS without exposing traffic to the public internet. With this integration, administrators can use VPC endpoint policies to seamlessly route their discovery data from either the ADS Agentless Collector or ADS Discovery Agent directly into ADS for analysis and migration planning. This new feature is available in all AWS Regions where AWS Application Discovery Service and AWS PrivateLink are available. To get started, see the AWS PrivateLink section of AWS Application Discovery Service user guide. View the…

Amazon OpenSearch Ingestion now allows you to leverage AWS Lambda for event processing and routing, enabling complex transformation and enrichment of your streaming data. Customers can now define custom Lambda functions in their OpenSearch Ingestion pipelines for use cases like generating vector embedding and lookups in external databases to power advanced search use cases. OpenSearch Ingestion gives you the option of either using only Lambda functions or chaining Lambda functions with native Data Prepper processors when transforming data. You can also batch events into a single payload based on event count and size before invoking Lambda to optimize the number of Lambd…

AWS Glue announces generative AI upgrades for Apache Spark, a new generative AI capability that enables data practitioners to quickly upgrade and modernize their existing Spark jobs. Powered by Amazon Bedrock, this feature automates the analysis and updating of Spark scripts and configurations, reducing the time and effort required for Spark upgrades from weeks to minutes. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning, and application development. With Spark Upgrades, you can initiate automated upgrades with a single click in the AWS Glue console to modernize your …

Today, we’re launching a new feature that enables customers to easily import Parquet data and export Parquet/CSV data to and from their Neptune Analytics graphs. This new capability simplifies the process of loading Parquet data into Neptune Analytics for graph queries and analysis, while also allowing customers to export graph data as Parquet or CSV files. Exported data can then be moved seamlessly to Neptune DB, data lakes, or ML platforms for further exploration and analysis. Previously, customers faced challenges with limited integration options, vendor lock-in concerns, cross-platform flexibility, and sharing graph data for collaborative analysis. This new export …

Today, AWS announces Savings Plans Purchase Analyzer, a new AWS Billing and Cost Management feature that enables you to quickly estimate the cost, coverage, and utilization impact of your planned Savings Plan purchases, so you can make informed purchase decisions in just a few clicks. Savings Plans Purchase Analyzer enables you to interactively model a wide range of Savings Plan purchase scenarios with customizable parameters, including commitment amounts, custom lookback periods, and the option to exclude expiring Savings Plans. You can compare estimated savings percentage, coverage, and utilization across different purchase scenarios, and evaluate the hourly impact o…

AWS announces Amazon Redshift Query Editor V2 now supports increased maximum result set and export size to 100MB of your query result sets with no row limit. Prior to this limit of your query result sets was* 5MB or 100,000 rows. This enhancement provides greater flexibility for you and your team to work with large datasets, enabling you to generate, analyze, and export more comprehensive data without previous constraints. If you work with large datasets, such as security logs, gaming data, and other big data workloads, that require in-depth analysis, the previous 5MB or 100,000-row limit on result sets and exports often fell short of your needs, forcing you to piece t…

AWS Resilience Hub introduces a new summary view, providing an executive level view of the resilience posture of the application portfolio defined on Resilience Hub. The new summary view allows you to visualize the state of your application portfolio, so you can efficiently manage and improve your applications’ ability to withstand and recover from disruptions. Understanding the current state of application resilience can be a challenge, especially when it comes to identifying which applications need attention and communicating this information across your organization. The new summary view in Resilience Hub helps you to quickly identify applications that require remed…

AWS AppSync is a fully managed API management service that connects applications to events, data, and AI models. AppSync now supports sharing GraphQL APIs across AWS accounts using AWS Resource Access Manager (RAM). This new feature allows customers to securely share their AppSync GraphQL APIs configured with IAM authorization, including private APIs, with other AWS accounts within their organization or with third parties. Before today, customers had to set up additional networking infrastructure to share their private GraphQL APIs between their organization accounts. With this enhancement, customers can now centralize their GraphQL API management in a dedicated accoun…

Amazon Redshift now supports streaming ingestion from Confluent Managed Cloud and self-managed Apache Kafka clusters on Amazon EC2 instances, expanding its capabilities beyond Amazon Kinesis Data Streams (KDS) and Amazon Managed Streaming for Apache Kafka (MSK). With this update, customers can ingest data from a wider range of streaming sources directly into their Amazon Redshift data warehouses. Amazon Redshift introduces mTLS (mutual Transport Layer Security) as the authentication protocol for secure communication between Amazon Redshift and the newly supported Kafka streaming sources. This ensures that data ingestion from these new sources maintains the high securit…

Amazon Managed Service for Apache Flink now offers a new Apache Flink connector for Amazon Kinesis Data Streams. This open-source connector, contributed by AWS, supports Apache Flink 2.0 and provides several enhancements. It enables in-order reads during stream scale-up or scale-down, supports Apache Flink's native watermarking, and improves observability through unified connector metrics. Additionally, the connector uses AWS SDK for Java 2.x which supports enhanced performance and security features, and native retry strategy. Amazon Kinesis Data Streams is a serverless data streaming service that enables customers to capture, process, and store data streams at any sca…

AWS Step Functions announces support for two new capabilities: Variables and JSONata data transformations. Variables allow developers to assign data in one state and reference it in a subsequent state, simplifying state payload management, reducing the need to pass data through multiple intermediate states. With support for JSONata, an open source query and transformation language, customers can now perform advanced data manipulation and transformation such as date and time formatting, and mathematical operations. Additionally, when using JSONata, we have simplified input and output processing by reducing the number of JSON transformation fields required to call services …

The Amazon Connect contact record now includes granular disconnect reasons for chats, enabling you to improve and personalize customer experiences based on how a chat is ended. For example, if the agent disconnects due to a network issue, you can route the chat to the next best agent, or if the customer disconnects due to idleness, you can proactively send an SMS to re-engage them. Disconnect reasons are available for chats in all AWS regions where Amazon Connect is offered. To learn more refer to the help documentation. View the full article

AWS announces general availability of AWS Chatbot SDKs. This launch provides developers access to AWS Chatbot’s control plane APIs by using the AWS SDK. With this launch, customers can programmatically implement ChatOps workflows in their chat channels. They can now utilize the SDK to configure Microsoft Teams and Slack channels for monitoring and diagnosing issues. They can use SDK to configure action buttons and command aliases so that channel members can fetch telemetry and diagnose issues quickly. They can also programmatically tag resources to enforce tag-based controls in their environments. AWS Chatbot SDKs are available at no additional cost in AWS Regions w…

Amazon Q Business now supports a connector to Google Calendar. This expands Amazon Q Business’s support of Google Workspace to include Google Drive, Gmail, and now Google Calendar. Each managed connectors makes it easy to synchronize your data with your Amazon Q index. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. The over 40 connectors supported by Amazon Q Business can be scheduled to automatically sync your index with …

Starting today, you can use AWS Shield Advanced in the AWS Asia Pacific (Malaysia) Region. AWS Shield Advanced is a managed application security service that safeguards applications running on AWS from distributed denial of service (DDoS) attacks. Shield Advanced provides always-on detection and automatic inline mitigations that minimize application downtime and latency from DDoS attacks. Also, it provides protections against more sophisticated and larger attacks for your applications running on Amazon Elastic Compute Cloud (EC2), Amazon Elastic Load Balancing (ELB), Amazon CloudFront, AWS Global Accelerator, and Amazon Route 53. To learn more visit, the AWS Shield Advanc…

Amazon EC2 introduces a new capability that makes it easy for customers to target instance launches on their On-Demand Capacity Reservations (ODCRs). On-Demand Capacity Reservations help you reserve compute capacity for your workloads in a specific Availability Zone for any duration. This new feature allows you to better utilize your On-Demand Capacity Reservations by ensuring that launches from the RunInstances EC2 API and EC2 Auto Scaling groups will only be fulfilled by your targeted or open Capacity Reservations. To get started, customers simply specify they if want to only launch on ODCR capacity on either their RunInstances EC2 API, Launch Templates, or Auto-Scal…

Amazon Q Business now supports, in preview, a connector to Asana, a leading enterprise work management platform. This managed connector makes it easy for Amazon Q Business users to synchronize data from their Asana instance with their Amazon Q index. When connected, Amazon Q Business can help users answer questions and generate summaries with context from Asana projects. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. The o…

Today, Amazon Web Services (AWS) is announcing the general availability of Amazon Q Developer’s AWS account resources chat capability in the AWS Console Mobile Application. With this capability, you can use your device’s voice input and output capabilities along with natural language prompts to list resources in your AWS account, get specific resource details, and ask about related resources while on-the-go. From the Amazon Q tab in the AWS Console Mobile App, you can ask Q to “list my running EC2 instances in us-east-1” or “list my S3 buckets” and Amazon Q returns a list of resource details, along with a summary. You can ask “what Amazon EC2 instances is Amazon CloudWa…

Amazon Q Business is a fully managed, generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Users can upload files and Amazon Q can help summarize or answers about the files. Starting today, users can drag and drop files to upload and reuse any recently uploaded files in new conversations without uploading the files again. With the recent documents list, users save time searching and re-uploading frequently used files to Amazon Q Business. The list is only viewable by the individual who uploaded the file and they can clear the cached list by d…

AWS Glue announces generative AI troubleshooting for Apache Spark, a new capability that helps data engineers and scientists quickly identify and resolve issues in their Spark jobs. Spark Troubleshooting uses machine learning and generative AI technologies to provide automated root cause analysis for Spark job issues, along with actionable recommendations to fix identified issues. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning, and application development. With Spark troubleshooting, you can initiate automated analysis of failed jobs with a single click in the AWS G…

Amazon Application Recovery Controller (ARC) zonal shift and zonal autoshift have expanded their capabilities and now support Application Load Balancers (ALB) with cross-zone configuration enabled. ARC zonal shift helps you quickly recover an unhealthy application in an Availability Zone (AZ), and reduce the duration and severity of impact to the application due to events such as power outages and hardware or software failures. ARC zonal autoshift safely and automatically shifts your application’s traffic away from an AZ when AWS identifies a potential failure affecting that AZ. All ALB customers with cross-zone enabled load balancers can now shift traffic away from an…

Amazon Bedrock Knowledge Bases now supports binary vector embeddings for building Retrieval Augmented Generation (RAG) applications. This feature is available with Titan Text Embeddings V2 model and Cohere Embed models. Amazon Bedrock Knowledge Bases offers fully-managed RAG workflows to create highly accurate, low latency, secure and customizable retrieval-augmented-generation (RAG) applications by incorporating contextual information from an organization's data sources. Binary vector embeddings represent document embeddings as binary vectors, with each dimension encoded as a single binary digit (0 or 1). Binary embeddings in RAG applications offer significant benefit…

Amazon Cognito now allows you to secure user access to your applications with passwordless authentication, including sign-in with passkeys, email, and text message. Passkeys are based on FIDO standards and use public key cryptography, which enables strong, phishing-resistant authentication. With passwordless authentication, you can reduce the friction associated with traditional password-based authentication and thus simplify the user log-in experience for their applications. For example, if your users choose to use passkeys to log in, they can do so using a built-in authenticator, such as Touch ID on Apple MacBooks and Windows Hello facial recognition on PCs. Amazon C…

AWS Application Load Balancer (ALB) now supports Amazon Application Recovery Controller’s zonal shift and zonal autoshift features on load balancers that are enabled across zones. Zonal shift allows you to quickly shift traffic away from an impaired Availability Zone (AZ) and recover from events such as bad application deployment and gray failures. Zonal autoshift safely and automatically shifts your traffic away from an AZ when AWS identifies potential impact to it. Enabling cross-zone on ALBs is a popular configuration for customers that require an even distribution of traffic across application targets in multiple AZs. With this launch, customers can shift traffic a…

Amazon Cognito introduces Managed Login, a fully-managed, hosted sign-in and sign-up experience that customers can personalize to align with their company or application branding. Amazon Cognito provides millions of users with secure, scalable, and customizable sign-up and sign-in experiences. With Managed Login, Cognito customers can now use its no-code visual editor to customize the look and feel of the user journey from signup and login to password recovery and multi-factor authentication. Managed Login helps customers offload the undifferentiated heavy lifting of designing and maintaining custom implementations such as passwordless authentication and localization. …

Amazon Cognito launches new user pool feature tiers: Essentials and Plus. The Essentials tier offers comprehensive and flexible user authentication and access control features, allowing customers to implement secure, scalable, and customized sign-up and sign-in experiences for their application within minutes. It supports password-based log-in, multi-factor authentication (email, SMS, TOTP), and log-in with social identity providers, along with recently announced Managed Login and passwordless log-in (passkeys, email, SMS) features. Essentials also supports customizing access tokens and disallowing password reuse. The Plus tier is geared toward customers with elevated sec…

Amazon QuickSight now supports the ability to customize fonts across specific visuals. Authors can now completely customize fonts for Table and Pivot table, while for remaining visuals they can customize fonts for specific properties including title, subtitle, legends title and legends values. Authors can set the font size(in pixels), font family, color, and styling options like bold, italics, and underline across analysis, including dashboard, reports and embedded scenarios. With this update, you can align the dashboard's fonts with your organization's branding guidelines, creating a cohesive and visually appealing experience. Additionally, the font customization opti…

We are excited to announce that AWS HealthOmics sequence stores now support cross account read access to simplify data sharing and tool integration. AWS HealthOmics is a fully managed service that empowers healthcare and life science organizations to store, query, analyze omics data to generate insights to improve health and drive scientific discoveries. With this release, customers can enable secure data sharing with partners, while maintaining auditability and compliance frameworks. Cross account reading for S3 API enables customers to write resource policies to manage sharing and restrict data reading based on their needs. Through the use of tag propagation and tag-…

In this blog, we’ll explore how the AWS SAP-C02 certification equips you with the knowledge and skills needed to address cloud cost inefficiencies. Recent studies show that up to 30% of cloud service costs are wasted, resulting in unnecessary financial losses and potential risks to business operations. This post will guide you through AWS cost management strategies and how to make the best use of available tools. The course prepares you for a comprehensive cost management process, including: Cost Control in Cloud Solutions Architect Professional exam domain Cost control is a major topic in the Cloud Solutions Architect Professional SAP-C02 certification exam. However…

This blog is co-authored by Jooyoung Kim, Senior Containers Specialist Solutions Architect, Abhishek Nautiyal, Senior Product Manager, Amazon ECS and Ankur Sethi, Senior Product Manager, Amazon EC2. Introduction Amazon Elastic Container Service (Amazon ECS) is an opinionated, easy-to-use container orchestration service with deep AWS integrations that streamlines the deployment and management of containerized applications at scale. A vital aspect of effective resource management within Amazon ECS is Service Auto Scaling. This feature allows users to automatically adjust the desired count of tasks in an Amazon ECS service, making sure that applications can efficiently me…

The AWS Glue Data Catalog supports automatic table optimization of Apache Iceberg tables, including compaction, snapshots, and orphan data management. The data compaction optimizer constantly monitors table partitions and kicks off the compaction process when the threshold is exceeded for the number of files and file sizes. The Iceberg table compaction process starts and will continue if the table or any of the partitions within the table has more than the configured number of files (default five files), each smaller than 75% of the target file size. The snapshot retention process runs periodically (default daily) to identify and remove snapshots that are older than the…

AWS now supports high availability Amazon EMR on EC2 clusters with instance fleet configuration. With high availability instance fleet clusters, you now get the enhanced resiliency and fault tolerance of high availability architecture, along with the improved flexibility and intelligence in Amazon Elastic Compute Cloud (Amazon EC2) instance selection of instance fleets. Amazon EMR is a cloud big data platform for petabyte-scale data processing, interactive analysis, streaming, and machine learning (ML) using open source frameworks such as Apache Spark, Presto and Trino, and Apache Flink. Customers love the scalability and flexibility that Amazon EMR on EC2 offers. However…

Introduction This post was co-authored by Jon Lewis (SW R&D Director in HP), Gajanan Chandgadkar (Principal Cloud Operations Architect, HP), Rutvij Dave (Sr. Solutions Architect at AWS), Ratnopam Chakrabarti (Sr. Solutions Architect, Containers and Open-Source technologies at AWS), Apeksha Chauhan(Senior Technical Account Manager at AWS) and Chance Lee (Sr. Container Specialist Solutions Architect at AWS) HP PrintOS solution was launched in 2016. Since the launch, PrintOS has connected nearly 30,000 companies, 85,000 users, and 50,000 devices, creating the world’s largest industrial print network. HP’s Industrial print portfolio includes Indigo, Large Format, PageW…

This blog is authored by Colin Putney (ML Engineer at Vannevar Labs), Shivam Dubey (Specialist SA Containers at AWS), Apoorva Kulkarni (Sr.Specialist SA, Containers at AWS), and Rama Ponnuswami (Principal Container Specialist at AWS). Vannevar Labs is a defense tech startup, successfully cut machine learning (ML) inference costs by 45% using Ray and Karpenter on Amazon Elastic Kubernetes Service (Amazon EKS). The company specializes in building advanced software and hardware to support various defense missions, including maritime vigilance, misinformation disruption, and nontraditional intelligence collection. Vannevar Labs leverages ML to process information from inge…

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. By making it mandatory for data consumers to provide specific metadata, domain owners can achieve compliance, meet organizational standards, and support audit and reporting needs. Many organizations require additional metadata from data consumers during the subscription request process to align with internal workflows and regulatory requirements. With enforced metadata rules, domain unit owners can…

Purpose of this blog is to provide a structured guide for successful exam preparation by providing an overview of the AWS AI Practitioner covering key concepts to focus on and real test-takers’ strategies for passing the exam on the first attempt Exam Outline and Roadmap to the AWS Certified AI Practitioner The AWS Certified AI Practitioner exam has it’s focus on generative AI technologies, AI/ML, and related AWS services and tools. The primary purpose of the test is to verify a candidate’s basic understanding of generative AI, machine learning, and artificial intelligence concepts, as well as their applications and use cases on AWS. Thus, having a strategic plan is a m…

Today we announced support for three new features for Amazon OpenSearch Serverless: Point in Time (PIT) search, which enables you to maintain stable sorting for deep pagination in the presence of updates, and Piped Processing Language (PPL) and Structured Query Language (SQL), which give you new ways to query your data. Querying with SQL or PPL is useful if you’re already familiar with the language or want to integrate your domain with an application that uses them. OpenSearch Serverless is a powerful and scalable search and analytics engine that enables you to store, search, and analyze large volumes of data while reducing the burden of manual infrastructure provisioni…